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GCP Professional Data Engineer Exam Resources

I have assembled some links for the exam, broken down by section.  These links were from the A Cloud Guru practice exam explanations.

gcp professional data engineer exam resources 2022
GCP Professional Data Engineer Exam Resources 2022

Section 1. Designing data processing systems

https://cloud.google.com/bigquery/docs

https://cloud.google.com/pubsub/docs/ordering

https://cloud.google.com/dataproc/docs/guides/dataproc-images

https://cloud.google.com/blog/products/data-analytics/what-to-consider-in-an-apache-kafka-to-pubsub-migration

https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-json

https://beam.apache.org/documentation/programming-guide/#core-beam-transforms

https://cloud.google.com/spanner/docs/secondary-indexes

https://cloud.google.com/spanner/docs/true-time-external-consistency

https://cloud.google.com/dataproc/docs

https://cloud.google.com/storage/docs/storage-classes

https://cloud.google.com/bigtable/docs/overview

https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-avro

https://cloud.google.com/bigtable/docs

https://cloud.google.com/dataflow/docs

https://cloud.google.com/bigtable/docs/concepts

https://cloud.google.com/datastore/docs/concepts/overview

https://beam.apache.org/documentation/programming-guide/#side-inputs

https://cloud.google.com/dataproc/docs/guides/dataproc-images

https://cloud.google.com/solutions/migration/hadoop/migrating-apache-spark-jobs-to-cloud-dataproc

https://cloud.google.com/iam/docs/understanding-service-accounts

https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-json

 

Section 2. Building and operationalizing data processing systems

https://cloud.google.com/pubsub/docs

https://beam.apache.org/documentation/programming-guide/#core-beam-transforms

https://cloud.google.com/bigtable/docs/schema-design-time-series#patterns_for_row_key_design

https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline

https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling

https://cloud.google.com/pubsub/docs/replay-overview

https://cloud.google.com/pubsub/docs/monitoring

https://cloud.google.com/transfer-appliance/docs/2.0

https://cloud.google.com/bigquery/docs

https://cloud.google.com/bigtable/docs/overview

https://cloud.google.com/bigquery/docs/share-access-views

https://cloud.google.com/blog/products/gcp/handling-invalid-inputs-in-dataflow

https://beam.apache.org/documentation/runners/direct/

https://cloud.google.com/dataflow/docs

https://cloud.google.com/bigtable/docs/performance

https://cloud.google.com/bigquery/docs/partitioned-tables#date_timestamp_partitioned_tables

https://cloud.google.com/bi-engine/docs/getting-started-data-studio

 

Section 3. Operationalizing machine learning models

https://developers.google.com/machine-learning/crash-course/regularization-for-simplicity/video-lecture

https://cloud.google.com/ai-platform/deep-learning-vm/docs

https://cloud.google.com/vision/automl/docs

https://cloud.google.com/ai-platform/docs/ml-solutions-overview

https://cloud.google.com/ai-platform/docs

https://cloud.google.com/vision/automl/docs/predict-batch

https://cloud.google.com/natural-language/automl/docs/prepare#classification

https://developers.google.com/machine-learning/crash-course/descending-into-ml/linear-regression

https://cloud.google.com/speech-to-text/docs

 

Section 4. Ensuring solution quality

https://cloud.google.com/datalab/docs

https://cloud.google.com/bigquery/docs

https://cloud.google.com/bigtable/docs/overview

https://cloud.google.com/bigtable/quotas#storage-per-node

https://cloud.google.com/sql/docs/mysql/maintenance

https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/network#create_a_cloud_dataproc_cluster_with_internal_ip_address_only

https://cloud.google.com/billing/docs/how-to/billing-access

https://support.google.com/datastudio/answer/7020039?hl=en

https://cloud.google.com/storage/docs/lifecycle

https://cloud.google.com/bigquery/docs/table-access-controls-intro

https://cloud.google.com/bigtable/docs/overview

https://cloud.google.com/bigquery/docs/visualize-data-studio

https://cloud.google.com/storage/docs/access-control/signed-urls

 

I don’t purport for these lists to be exhaustive.  Use the lists as a starting point.

As of this time, I will be writing the GCP Data Engineer exam in 3 days.  I will go over my exam preparation in the next few weeks.

 

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